no code implementations • 20 Oct 2021 • Josh Kalin, David Noever, Matthew Ciolino
Machine learning and software development share processes and methodologies for reliably delivering products to customers.
no code implementations • 29 Mar 2021 • Josh Kalin, David Noever, Matthew Ciolino, Dominick Hambrick, Gerry Dozier
Image classification is a common step in image recognition for machine learning in overhead applications.
no code implementations • 3 Mar 2021 • Josh Kalin, David Noever, Matthew Ciolino
Machine learning models present a risk of adversarial attack when deployed in production.
no code implementations • 19 Feb 2021 • Matthew Ciolino, Josh Kalin, David Noever
Production machine learning systems are consistently under attack by adversarial actors.
no code implementations • 19 Feb 2021 • Matthew Ciolino, David Noever, Josh Kalin
Natural Language Processing (NLP) relies heavily on training data.
no code implementations • 5 Jan 2021 • David Noever, Josh Kalin, Matt Ciolino, Dom Hambrick, Gerry Dozier
Taking advantage of computationally lightweight, but high-quality translators prompt consideration of new applications that address neglected languages.
no code implementations • 7 Sep 2020 • Josh Kalin, Matthew Ciolino, David Noever, Gerry Dozier
With the process in this paper, a structured set of input probes and the output of the model become the training data for a deep classifier.
2 code implementations • 2 Aug 2020 • David Noever, Matt Ciolino, Josh Kalin
This work demonstrates that natural language transformers can support more generic strategic modeling, particularly for text-archived games.
no code implementations • 7 Jul 2020 • Matthew Ciolino, David Noever, Josh Kalin
This work applies natural language modeling to generate plausible strategic moves in the ancient game of Go.
no code implementations • 19 Jun 2020 • Josh Kalin, David Noever, Gerry Dozier
This work proposes a structured approach to baselining a model, identifying attack vectors, and securing the machine learning models after deployment.
no code implementations • 3 Jan 2020 • David Noever, Wes Regian, Matt Ciolino, Josh Kalin, Dom Hambrick, Kaye Blankenship
Small satellite constellations provide daily global coverage of the earth's landmass, but image enrichment relies on automating key tasks like change detection or feature searches.
no code implementations • 29 Oct 2019 • Matthew Ciolino, David Noever, Josh Kalin
This suggests a possible improvement to automated target recognition in image classification and object detection.